• DocumentCode
    3426859
  • Title

    Driver´s style classification using jerk analysis

  • Author

    Murphey, Yi Lu ; Milton, Robert ; Kiliaris, Leonidas

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Michigan-Dearborn, Dearborn, MI
  • fYear
    2009
  • fDate
    March 30 2009-April 2 2009
  • Firstpage
    23
  • Lastpage
    28
  • Abstract
    This paper presents an innovative approach to classifying the driver´s driving style by analyzing the jerk profile of the driver. Driving style is a dynamic behavior of a driver on the road. At times a driver can be calm but aggressive at others. The information about driver´s dynamic driving style can be used to better control fuel economy. We propose to classify driver´s style based on the measure of how fast a driver is accelerating and decelerating. We developed an algorithm that classifies driver´s style utilizing the statistical information from the jerk profile and the road way type and traffic congestion level prediction. Our experiment results show that our approach generates more reasonable results than those generated by using other published methods.
  • Keywords
    behavioural sciences; fuel economy; road traffic; driver style classification; fuel economy; jerk analysis; road way type; statistical information; traffic congestion level prediction; Acceleration; Communication system traffic control; Databases; Energy management; Environmental management; Fuel economy; Knowledge management; Power distribution; Roads; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Vehicles and Vehicular Systems, 2009. CIVVS '09. IEEE Workshop on
  • Conference_Location
    Nashville, TN
  • Print_ISBN
    978-1-4244-2770-3
  • Type

    conf

  • DOI
    10.1109/CIVVS.2009.4938719
  • Filename
    4938719